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Researcher · University of Chicago · United States

Paul J. Chang

Paul J. Chang publishes mostly in Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence, on topics such as Radiology practices and education, Digital Radiography and Breast Imaging and Radiomics and Machine Learning in Medical Imaging.

ORCID 0000-0002-9083-1435 OpenAlex
World rank
#1,124,184
of 7,710,434 ranked researchers
Rank in United States
#362,924
of 1,627,098
Works
109
Citations
3.5k
Citations per work
32.6
h-index
29
i10-index 47Top 10% in Radiology, Nuclear Medicine and Imaging
Paul J. Chang

What does Paul J. Chang research?

Paul J. Chang's work is mostly in Medicine (48%), Computer Science (6%).

Health Sciences: 53 works · 48.3% of their workMedicine: 53 works · 48.3% of their workRadiology, Nuclear Medicine and Imaging: 22 works · 19.8% of their workPulmonary and Respiratory Medicine: 14 works · 13.3% of their workOncology: 6 works · 5.8% of their workSurgery: 6 works · 5.8% of their workHealth Informatics: 4 works · 3.6% of their workEverything else: 49 works · 45.2% of their workPhysical Sciences: 7 works · 6.5% of their workComputer Science: 7 works · 6.5% of their workArtificial Intelligence: 7 works · 6.5% of their workTHEIR WORKPaul J. Chang109works
Physical Sciences6%Health Sciences48%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine5348.3%
  2. Everything else4945.2%
    1. Computer Science76.5%
  1. 1Radiology, Nuclear Medicine and Imaging20% of their works
  2. 2Pulmonary and Respiratory Medicine13% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Surgery6% of their works
  5. 5Oncology6% of their works
  6. 6Health Informatics4% of their works

Research topics

Which keywords describe Paul J. Chang's research?

The keywords of their largest research topics: Radiology Errors, Structured Reporting, Machine Learning, Medical Imaging, Digital Mammography, Mammographic Density, Quantitative Analysis and Radiomics.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Radiology Errors251 topic
  2. Structured Reporting251 topic
  3. Machine Learning212 topics
  4. Medical Imaging212 topics
  5. Digital Mammography141 topic
  6. Mammographic Density141 topic
  7. Quantitative Analysis111 topic
  8. Radiomics111 topic
  9. Artificial Intelligence101 topic
  10. Healthcare101 topic
  11. Computed Tomography71 topic
  12. Radiation Exposure71 topic
  13. Immune Checkpoint Blockade61 topic
  14. PD-1 and PD-L161 topic
  15. Biomedical Ontologies51 topic
  16. CT Screening51 topic
  17. Lung Cancer51 topic
  18. Text Mining51 topic

Where does Paul J. Chang work?

Paul J. Chang's main affiliation in the publication record is University of Chicago, United States.

How many publications and citations does Paul J. Chang have?

OpenAlex counts 109 works and 3,549 citations for Paul J. Chang, an h-index of 29, ranking #1,124,184 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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